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| LAK, MohammadBagher. |
| Timely detection of water stress in agricultural crops is important. In this paper, a smart classification algorithm was developed to detect water stress in tomato plants that were grown in the greenhouse. During the growth period, thermal and visible light images were acquired from the canopy tops in two states: (1) plants in normal conditions; and (2) plants under water stress. Images were obtained using a camera that recorded simultaneous frames of thermal and visible (red, green, and blue (RGB)) features. Based on these features, 22 parameters were defined and applied to classify the image frames. In order to develop an efficient algorithm, principal component analysis (PCA) was applied to optimize the classifying of parameters. For normalizing the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Image classification; MLPNN; Normalization; PCA; Precision farming. |
| Ano: 2021 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/6343 |
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| Neves,Antonia Leila Rocha; Lacerda,Claudivan Feitosa de; Teixeira,Adunias dos Santos; Costa,Carlos Alexandre Gomes; Gheyi,Hans Raj. |
| Abstract Cowpea crop is of great importance for northeast Brazil. The objective of this work was to evaluate the application of saline water in different developing stages on plant growth and changes in soil characteristics, measured by soil coverage, and on yield of cowpea plants. The experiment was conducted under field conditions, during the dry season in a completely randomized block design with five treatments and five replications. Each experimental unit consisted of 4 lines of plants with 5.0 m long. The treatments evaluated were: 1. irrigation with groundwater with electrical conductivity (ECw) of 0.8 dS m-1 during the whole crop cycle; 2. saline water (5.0 dS m-1) during the whole crop cycle; 3, 4 and 5. saline water (5.0 dS m-1) up to 22nd,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Vigna unguiculata; Image classification; Salinity of the water; Salt tolerance. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902010000100059 |
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